Clustering of Leafcutter Bee (Megachile lippiae) Damage is not Explained by Positive Feedback
Damage to leaves caused by animals is often distributed unequally, with few plants or individual leaves receiving the bulk of the damage. However, the mechanisms that generate these distributions are rarely understood. This is especially true for foliar damage caused by leafcutter bees (Megachile sp...
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Published in | Western North American naturalist Vol. 85; no. 1; pp. 1 - 12 |
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Main Author | |
Format | Journal Article |
Language | English |
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Western North American Naturalist
01.04.2025
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ISSN | 1527-0904 |
DOI | 10.3398/064.085.0101 |
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Abstract | Damage to leaves caused by animals is often distributed unequally, with few plants or individual leaves receiving the bulk of the damage. However, the mechanisms that generate these distributions are rarely understood. This is especially true for foliar damage caused by leafcutter bees (Megachile spp., Megachilidae), which use cut leaf discs to construct the linings of their nests. Leafcutter bee damage is highly clustered at the individual leaf level, but nothing is known about what is responsible for this pattern. I studied the leaf-cutting behavior of the leafcutter bee Megachile lippiae on cultivated roses (Rosa * hybrida) to understand whether the clustering of many cuts on individual leaves is due to positive feedback, with bees becoming more likely to cut a leaf solely because it has already been cut. This could occur if bees use social information (i.e., decisions previously made by other individuals) to decrease costs associated with leaf foraging. I identified a characteristic set of behaviors bees engage in when foraging for rose leaves. i then quantified which of these behaviors bees performed, and for how long, when the bees were on leaves that had and had not been previously cut to determine whether the presence of a cut in itself results in differences in bee behavior (e.g., decreasing evaluation time). Finally, I experimentally cut leaves, removing an ellipse of tissue similar in size, shape, and location to natural cuts, and compared the accumulation of cuts on these leaves to the accumulation of cuts on unmanipulated leaves and leaves that had been subject to non-leafcutter-like damage. I found that bees behaved similarly and spent similar amounts of time on cut and noncut leaves. in the cutting experiment, there was no difference in cut accumulation among the treatments, suggesting that the presence of a leafcutter-like cut on a leaf is not sufficient to induce additional cutting. This suggests that the clustering of leafcutter bee cuts on particular leaves is not explained sufficiently by a simple positive feedback mechanism, and instead must be driven in part by other factors. I propose several alternative causes for cut clustering that deserve further attention. |
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AbstractList | Damage to leaves caused by animals is often distributed unequally, with few plants or individual leaves receiving the bulk of the damage. However, the mechanisms that generate these distributions are rarely understood. This is especially true for foliar damage caused by leafcutter bees (Megachile spp., Megachilidae), which use cut leaf discs to construct the linings of their nests. Leafcutter bee damage is highly clustered at the individual leaf level, but nothing is known about what is responsible for this pattern. I studied the leaf-cutting behavior of the leafcutter bee Megachile lippiae on cultivated roses (Rosa x hybrida) to understand whether the clustering of many cuts on individual leaves is due to positive feedback, with bees becoming more likely to cut a leaf solely because it has already been cut. This could occur if bees use social information (i.e., decisions previously made by other individuals) to decrease costs associated with leaf foraging. I identified a characteristic set of behaviors bees engage in when foraging for rose leaves. I then quantified which of these behaviors bees performed, and for how long, when the bees were on leaves that had and had not been previously cut to determine whether the presence of a cut in itself results in differences in bee behavior (e.g., decreasing evaluation time). Finally, I experimentally cut leaves, removing an ellipse of tissue similar in size, shape, and location to natural cuts, and compared the accumulation of cuts on these leaves to the accumulation of cuts on unmanipulated leaves and leaves that had been subject to non-leafcutter-like damage. I found that bees behaved similarly and spent similar amounts of time on cut and noncut leaves. In the cutting experiment, there was no difference in cut accumulation among the treatments, suggesting that the presence of a leafcutter-like cut on a leaf is not sufficient to induce additional cutting. This suggests that the clustering of leafcutter bee cuts on particular leaves is not explained sufficiently by a simple positive feedback mechanism, and instead must be driven in part by other factors. I propose several alternative causes for cut clustering that deserve further attention. Damage to leaves caused by animals is often distributed unequally, with few plants or individual leaves receiving the bulk of the damage. However, the mechanisms that generate these distributions are rarely understood. This is especially true for foliar damage caused by leafcutter bees (Megachile spp., Megachilidae), which use cut leaf discs to construct the linings of their nests. Leafcutter bee damage is highly clustered at the individual leaf level, but nothing is known about what is responsible for this pattern. I studied the leaf-cutting behavior of the leafcutter bee Megachile lippiae on cultivated roses (Rosa * hybrida) to understand whether the clustering of many cuts on individual leaves is due to positive feedback, with bees becoming more likely to cut a leaf solely because it has already been cut. This could occur if bees use social information (i.e., decisions previously made by other individuals) to decrease costs associated with leaf foraging. I identified a characteristic set of behaviors bees engage in when foraging for rose leaves. i then quantified which of these behaviors bees performed, and for how long, when the bees were on leaves that had and had not been previously cut to determine whether the presence of a cut in itself results in differences in bee behavior (e.g., decreasing evaluation time). Finally, I experimentally cut leaves, removing an ellipse of tissue similar in size, shape, and location to natural cuts, and compared the accumulation of cuts on these leaves to the accumulation of cuts on unmanipulated leaves and leaves that had been subject to non-leafcutter-like damage. I found that bees behaved similarly and spent similar amounts of time on cut and noncut leaves. in the cutting experiment, there was no difference in cut accumulation among the treatments, suggesting that the presence of a leafcutter-like cut on a leaf is not sufficient to induce additional cutting. This suggests that the clustering of leafcutter bee cuts on particular leaves is not explained sufficiently by a simple positive feedback mechanism, and instead must be driven in part by other factors. I propose several alternative causes for cut clustering that deserve further attention. Damage to leaves caused by animals is often distributed unequally, with few plants or individual leaves receiving the bulk of the damage. However, the mechanisms that generate these distributions are rarely understood. This is especially true for foliar damage caused by leafcutter bees (Megachile spp., Megachilidae), which use cut leaf discs to construct the linings of their nests. Leafcutter bee damage is highly clustered at the individual leaf level, but nothing is known about what is responsible for this pattern. I studied the leaf-cutting behavior of the leafcutter bee Megachile lippiae on cultivated roses (Rosa * hybrida) to understand whether the clustering of many cuts on individual leaves is due to positive feedback, with bees becoming more likely to cut a leaf solely because it has already been cut. This could occur if bees use social information (i.e., decisions previously made by other individuals) to decrease costs associated with leaf foraging. I identified a characteristic set of behaviors bees engage in when foraging for rose leaves. i then quantified which of these behaviors bees performed, and for how long, when the bees were on leaves that had and had not been previously cut to determine whether the presence of a cut in itself results in differences in bee behavior (e.g., decreasing evaluation time). Finally, I experimentally cut leaves, removing an ellipse of tissue similar in size, shape, and location to natural cuts, and compared the accumulation of cuts on these leaves to the accumulation of cuts on unmanipulated leaves and leaves that had been subject to non-leafcutter-like damage. I found that bees behaved similarly and spent similar amounts of time on cut and noncut leaves. in the cutting experiment, there was no difference in cut accumulation among the treatments, suggesting that the presence of a leafcutter-like cut on a leaf is not sufficient to induce additional cutting. This suggests that the clustering of leafcutter bee cuts on particular leaves is not explained sufficiently by a simple positive feedback mechanism, and instead must be driven in part by other factors. I propose several alternative causes for cut clustering that deserve further attention. El dano que los animales causan a las hojas a menudo se produce de manera desigual, donde pocas plantas u hojas individuales reciben el mayor dano. Sin embargo, los mecanismos que ocasionan estas distribuciones, no se conocen bien, especialmente en el caso del dano foliar que causan las abejas cortadoras (Megachile spp., Megachilidae), las cuales utilizan discos de hojas cortadas para construir el revestimiento de sus nidos. Las abejas cortadoras danan las hojas a nivel individual, pero no se conoce que causa ese patron. Estudie el comportamiento de corte de hojas de la abeja cortadora Megachile lippiae en rosas cultivadas (Rosa X hybrida) para comprender si los cortes multiples en hojas individuales se deben a la retroalimentacion positiva, haciendo mas probable que las abejas corten una hoja unicamente porque ya ha sido cortada. Esto podria ocurrir si las abejas usan informacion social (es decir, decisiones tomadas previamente por otros individuos) para disminuir los costos asociados con el forrajeo de hojas. Identifique un conjunto caracteristico de comportamientos que las abejas adoptan cuando buscan hojas de rosas. Luego cuantifique cual de estos comportamientos realizaban las abejas y durante cuanto tiempo, en hojas que ya habian sido cortadas y tambien en aquellas que no habian sido previamente cortadas, para determinar si la presencia de un corte propicia diferencias en el comportamiento de las abejas (por ejemplo, disminucion del tiempo de evaluacion). Finalmente, corte hojas experimentalmente, eliminando una elipse de tejido similar en tamano, forma y ubicacion a los cortes naturales, y compare la acumulacion de cortes en estas hojas con la acumulacion de cortes en hojas no manipuladas y hojas que no habian sido danadas. Descubri que las abejas se comportaban y pasaban una cantidad de tiempo similar en hojas cortadas y sin cortar. En el experimento de corte "artificial," no hubo diferencias en la acumulacion de cortes entre los tratamientos, lo que sugiere que la presencia de un corte similar al ocasionado por una abeja cortadora no es suficiente para inducir un corte adicional. Esto indica que la agrupacion de cortes de abejas cortadoras en hojas particulares no se explica por un simple mecanismo de retroalimentacion positiva, sino que debe ser impulsada por otros factores. En este trabajo propongo varias causas alternativas para explicar el corte agrupado que merecen mayor atencion. |
Audience | Academic |
Author | Luizzi, Victoria J. |
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SubjectTerms | Accumulation Animal cognition Bees Clustering Consumers Cutting Cuttings Damage Feedback Foraging behavior Leaves Linings Megachile Megachile lippiae Megachilidae Nests Positive feedback Scleria mitis |
Title | Clustering of Leafcutter Bee (Megachile lippiae) Damage is not Explained by Positive Feedback |
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